{"id":"W4406562487","doi":"10.1007/s00704-024-05349-z","title":"Assessment of ERA-Interim-driven RCM simulations in reproducing the link between ENSO and Climate Extreme Indices","year":2025,"lang":"en","type":"article","venue":"Theoretical and Applied Climatology","topic":"Climate variability and models","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ouranos; École de Technologie Supérieure","funders":"Fonds de recherche du Québec – Nature et technologies; Consejo Nacional de Ciencia y Tecnología","keywords":"Interim; Climatology; El Niño Southern Oscillation; Environmental science; Climate change; La Niña; Link (geometry); Atmospheric sciences; Computer science; Geology; Geography; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008257207,0.00144945,0.0007574983,0.0007100526,0.0009398919,0.001765406,0.001564641,0.003622634,0.001837604],"category_scores_gemma":[0.02236775,0.0006081971,0.0008341479,0.0007071788,0.0008078803,0.002172982,0.0009858509,0.001267582,0.000392227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001641292,"about_ca_system_score_gemma":0.002195929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03761491,"about_ca_topic_score_gemma":0.0247754,"domain_scores_codex":[0.998757,0.0007794592,0.00008689357,0.0001450633,0.0001521137,0.0000793905],"domain_scores_gemma":[0.98622,0.009305468,0.0008405002,0.001000174,0.001807553,0.000826233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001841596,0.0007465227,0.02133974,0.000140433,0.0003049072,0.000143748,0.0001042551,0.9622124,0.002232739,0.001960771,0.001567641,0.007405148],"study_design_scores_gemma":[0.000297808,0.0003086791,0.005433147,0.000024328,0.00006830307,0.00001751834,0.00006108628,0.9919255,0.0009274864,0.0004888964,0.0004158149,0.00003144182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840448,0.0005120967,0.00397814,0.001500302,0.0001991808,0.000132474,0.002168783,0.0003272141,0.007136981],"genre_scores_gemma":[0.9951676,0.00008511014,0.003334123,0.0001374491,0.00003407883,0.00004264788,0.0006808584,0.00004633942,0.0004718417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03761491,"threshold_uncertainty_score":0.07479191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01933868191335246,"score_gpt":0.2969277183135038,"score_spread":0.2775890364001513,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}